• 대한토목학회논문집
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• 제29권6D호
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• pp.663-673
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• 2009

도로의 곡선구간에서 운전자가 주행시 느끼는 인지곡선반경은 실제곡선반경과 상이하게 나타나는데, 이러한 현상을 시각왜곡현상이라 한다. 시각왜곡현상은 운전자에게 시각변화를 일으켜 운행속도에 영향을 미치고, 이로 인한 운행속도의 변화는 각운전자들의 인지정도 차이에 따라 운행속도의 편차에 영향을 주어 곡선부 주행안전에 악영향을 미친다. 그러나 현재까지 곡선부의 사고위험도를 증가시키는 시각왜곡현상을 정량적으로 분석하여 산정하거나, 시각왜곡현상을 고려해 도로 곡선부 설계시 이용될 설계기법에 대한 연구는 미비한 실정이다. 이에 본 연구에서는 도로 곡선부의 시각왜곡현상을 경험적 실험을 통한 분석을 실시하여 시각왜곡도를 정량적인 수치로 제시하였고, 곡선부 시각왜곡도를 고려한 설계기법을 제시하였다. 본 연구의 수행절차는 다음과 같다. 첫째, 설문조사를 실시하여 자료를 수집 활용하여 인지곡선반경을 종속변수로 하고, 기하구조를 독립변수로 하는 곡선부 인지곡선반경 모형식을 개발하였다. 둘째, 도로의 유형별로 인지곡선반경에 대한 실제곡선반경의 비율을 계산하여 곡선부 시각왜곡도를 산정하였다. 마지막으로, 곡선부 시각왜곡도 영향인자를 분석하여 이를 고려한 설계기법을 제시하였다.

• 사회복지연구
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• 제41권1호
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• pp.281-306
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• 2010

본 연구는 사회복지담당공무원의 관계적 요인이 지식공유에 어떤 영향을 미치는지를 지식공유의도의 매개효과를 중심으로 살펴보았다. 이를 위해 대전광역시 사회복지담당공무원을 대상으로 설문조사를 실시하였고, 구조방정식모형을 통해 인과관계를 검증하였다. 지식공유에 영향을 미치는 관계적 요인으로는 신뢰, 의사소통의 개방성, 상호관계의 기대와 효능감을 설정하였고, 매개변수는 지식공유의도, 종속변수는 지식공유였다. 연구결과, 신뢰, 상호관계의 기대, 효능감이 지식공유의도에 긍정적 영향을 주었고, 지식공유에 긍정적 영향을 주는 요인은 효능감 뿐이었다. 지식공유의도도 역시 지식공유에 긍정적인 영향을 미치는 것으로 나타나 사회복지담담공무원의 지식공유는 주로 지식공유의도를 매개로 하여 이루어지는 것으로 나타났다. 이러한 연구결과에 근거하여 사회복지담당공무원들의 지식공유를 보다 활발히 하기 위한 방안에 대해 제언하였다.

• Restorative Dentistry and Endodontics
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• 제47권2호
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• pp.20.1-20.14
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• 2022

Objectives: The study investigated the difficulties experienced by endodontics researchers around the world in conducting studies and writing papers. Materials and Methods: A survey consisting of 18 questions on the difficulties experienced by endodontics researchers in performing studies and writing papers was e-mailed to academics in the field of endodontics working at 202 universities. The independent risk factors were analyzed using binary logistic regression at a significance level of 0.05. Results: A total of 581 individuals (10.7%) agreed to participate in the study. Almost half the participants (48.2%) reported that they had received some type of training in conducting studies and writing papers. In response to the question, "Do you get help from a statistician to perform the statistical analyses of your studies?," 77.1% answered "yes." Around 40% of the participants stated that the need to obtain ethical approval negatively affected their desire to conduct studies. The participants' regions had no effect on the reported difficulties associated with writing papers in English or conducting statistical analyses (p > 0.05). Most participants (81.8%) reported difficulties in writing the Discussion section, regardless of their region, academic degrees, or years of experience. Conclusions: The participants stated they experienced difficulties in many areas, such as conducting statistical analyses, finding new ideas, and writing in English. Engaging in a detailed examination of ethics committee rules, expanding biostatistics education, increasing the number of institutions providing research funding, and increasing the number of endodontics journals can increase the enthusiasm of endodontics researchers to publish papers.

• Korean Journal of Radiology
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• 제21권7호
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• pp.891-899
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• 2020

Objective: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT. Materials and Methods: We retrospectively identified all whole-body trauma CT scans referred from the emergency department of our hospital from January to December 2018 (n = 511). Scans were categorized as positive (n = 159) or negative (n = 352) for rib fractures according to the clinically approved written CT reports, which served as the index test. The bone kernel series (1.5-mm slice thickness) served as an input for a detection prototype algorithm trained to detect both acute and chronic rib fractures based on a deep convolutional neural network. It had previously been trained on an independent sample from eight other institutions (n = 11455). Results: All CTs except one were successfully processed (510/511). The algorithm achieved a sensitivity of 87.4% and specificity of 91.5% on a per-examination level [per CT scan: rib fracture(s): yes/no]. There were 0.16 false-positives per examination (= 81/510). On a per-finding level, there were 587 true-positive findings (sensitivity: 65.7%) and 307 false-negatives. Furthermore, 97 true rib fractures were detected that were not mentioned in the written CT reports. A major factor associated with correct detection was displacement. Conclusion: We found good performance of a deep learning-based prototype algorithm detecting rib fractures on trauma CT on a per-examination level at a low rate of false-positives per case. A potential area for clinical application is its use as a screening tool to avoid false-negative radiology reports.

• Clinics in Shoulder and Elbow
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• 제26권3호
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• pp.260-266
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• 2023

Background: Knowledge of the base rate of signal changes consistent with distal biceps tendinopathy on magnetic resonance imaging (MRI) has the potential to influence strategies for diagnosis and treatment of people that present with elbow pain. The aim of this study is to measure the prevalence of distal biceps tendon signal changes on MRIs of the elbow by indication for imaging. Methods: MRI data for 1,306 elbows were retrospectively reviewed for mention of signal change in distal biceps tendon. The reports were sorted by indication. Results: Signal changes consistent with distal biceps tendinopathy were noted in 197 of 1,306 (15%) patients, including 34% of patients with biceps pain, 14% of patients with unspecified pain, and 8% of patients with a specific non-biceps indication. Distal biceps tendon changes noted on radiology reports were associated with older age, male sex, and radiologists with musculoskeletal fellowship training. Conclusions: The finding that distal biceps MRI signal changes consistent with tendinopathy are common even in asymptomatic elbows reduces the probability that symptoms correlate with pathology on imaging. The accumulation of signal changes with age, also independent of symptoms, suggests that tendon pathology persists after symptoms resolve, that some degree of distal biceps tendinopathy is common in a human lifetime, and that tendinopathy may often be accommodated without seeking care. Level of evidence: IV.

• 방사선산업학회지
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• 제17권4호
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• pp.385-390
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• 2023

The uterus, one of women's reproductive organs, is also closely related to women's health. Among them, hemorrhagic luteal cysts, one of the causes of pelvic pain that women often experience, were observed through CT and ultrasound, and the quality of images was evaluated through quantitative and qualitative evaluations. This study sought to find out whether the test method is more helpful to patients during CT and ultrasound. This study was conducted on 15 adolescent women and 15 adult women(21.31±3.45 average age). The equipment used for filming used EC3-10X (3~10 MHZ) and Philips Mx8000 iCT 256 among Endocavity Probes among Ecube Platinum. After setting a constant ROI on the cyst and the interface as a quantitative analysis method, SNR and CNR values were measured on a 5-point scale based on image quality, lesion clarity, image distortion, clarity of the interface, and motion artifacts (p<0.05). Independent t-test and Mann Whiteny U were performed, and the statistical program used was noted when SPSS (Version 22.0 for windows software package, Chicago, IL, USA) was statistically less than 0.05. Comparing the SNR and CNR values for this experiment, it can be seen that the SNR value was higher in the case of CT images(p<0.05). As a result of the qualitative evaluation, the quality of the image, the clarity of the lesion, the distortion of the image, the clarity of the interface, and the clarity of the boundary were measured on a 5-point scale based on the movement artifact. Comparing each score, CT images scored higher with a finer difference than ultrasound images(p<0.05). In conclusion, both test methods showed excellent results in finding the patient's lesions. However, in quantitative and qualitative evaluations, CT produced higher results in detecting lesions than ultrasound. However, for cyst tests that require continuous observation, ultrasonography, a non-invasive method that is advantageous for patients, will be clinically useful. Therefore, observing the patient's lesions by appropriately distributing these two test methods will provide optimal diagnostic information. These results will be useful for providing clinical basic data and educational materials to CT and US users in the future.

• 지능정보연구
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• 제20권1호
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• pp.177-193
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• 2014

개인정보 분야에서의 다양한 정보 보안 이슈가 발생함에 따라 해당 분야의 전문가를 확인하기 위한 프레임워크는 매우 중요한 영역이 되었다. 전문가 탐색과정은 주로 연구 업적 등을 통한 주관적인 평가가 일반적이지만 보다 객관적인 방식을 통한 선정이 매우 중요하다. 소셜 네트워크 분석기법의 응용이 다양한 영역에서 활용됨에 따라 본 연구는 개인정보보호분야의 전문가를 확인하고 해당 전문가들의 연구실적을 판단하기 위한 분석 프레임워크를 제시하고자 하였다. 본 연구는 연구 목적에 따라 개인정보보호 연구영역의 연구성과 자료를 바탕으로 소셜 네트워크 분석을 실시하고 핵심연구자의 성과를 분석하였다. 수집된 데이터는 연구의 공저자, 발행기관, 소속기관 등의 네트워크 구성에 활용되어 핵심전문가 집단을 관리하기 위한 프레임워크를 제시하였다. 본 연구는 NDSL에서 최근 5년 동안 발표된 논문들을 중심으로 자료를 수집하였다. 연구자들이 학술 정보를 교환하는 정기 간행물인 학술지를 바탕으로 연구 네트워크를 형성하는 네트워크 자료를 수집함으로써 연구활동에 대한 정보를 분석할 수 있었다. 일반적으로 연구자들은 연구 결과를 논문으로 발표하고, 발표된 논문들이 다수의 관련 분야 전문가들에게 공유된다는 점에서 학술연구지는 연구자들의 지식관련 의사소통 공간이며 지식의 구조화에 핵심적인 역할을 수행한다. 그에 따라 본 연구의 연구 대상 분야로 설정한 개인정보보호 분야의 연구 구조를 이해하기 위해 국내에서 발표된 관련 분야의 논문들을 연구 대상으로 자료가 수집되었다. 특히 자료의 선별 기준은 국내 최대의 데이터베이스를 보유하고 있는 NDSL에서 개인정보보호 관련 키워드를 보유한 논문 데이터를 수집 및 정제하여 분석 자료로 사용하였다. 2005년부터 2013년까지 약 2,000개의 연구결과 중 주제 관련성, 공저자 추출 등을 수집하였다. 데이터 수집 이후 연구 분석을 위한 데이터 처리를 통하여 통해 총 784개의 논문을 선정하고 분석대상으로 확정하였다. 분석 결과, 개인정보보호 연구영역의 전문가 집단을 이용한 연구논문 성과에 대한 분석은 핵심 연구자들을 추출해내고 전문가 집단을 관리하는 데 도움을 제공할 수 있다. 특히 소속집단 및 연구논문 발행기관을 분석함으로써 개인정보보호 연구영역에서 확인되지 않았던 연구자들의 연구 논문 게재의 공저자 네트워크가 매우 밀접함을 확인할 수 있다. 또한 연구논문의 발행기관 및 소속집단의 특성을 추출함으로써 개인정보보호 영역의 전문가 평가지표로서 소셜 네트워크 지표들의 활용가능성을 확인하였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1031-1031
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• 2001

The mammary gland is made up of remarkably sensitive tissue, which has the capability of producing a large volume of secretion, milk, under normal or healthy conditions. When bacteria enter the gland and establish an infection (mastitis), inflammation is initiated accompanied by an influx of white cells from the blood stream, by altered secretory function, and changes in the volume and composition of secretion. Cell numbers in milk are closely associated with inflammation and udder health. These somatic cell counts (SCC) are accepted as the international standard measurement of milk quality in dairy and for mastitis diagnosis. NIR Spectra of unhomogenized composite milk samples from 14 cows (healthy and mastitic), 7days after parturition and during the next 30 days of lactation were measured. Different multivariate analysis techniques were used to diagnose the disease at very early stage and determine how the spectral properties of milk vary with its composition and animal health. PLS model for prediction of somatic cell count (SCC) based on NIR milk spectra was made. The best accuracy of determination for the 1100-2500nm range was found using smoothed absorbance data and 10 PLS factors. The standard error of prediction for independent validation set of samples was 0.382, correlation coefficient 0.854 and the variation coefficient 7.63%. It has been found that SCC determination by NIR milk spectra was indirect and based on the related changes in milk composition. From the spectral changes, we learned that when mastitis occurred, the most significant factors that simultaneously influenced milk spectra were alteration of milk proteins and changes in ionic concentration of milk. It was consistent with the results we obtained further when applied 2DCOS. Two-dimensional correlation analysis of NIR milk spectra was done to assess the changes in milk composition, which occur when somatic cell count (SCC) levels vary. The synchronous correlation map revealed that when SCC increases, protein levels increase while water and lactose levels decrease. Results from the analysis of the asynchronous plot indicated that changes in water and fat absorptions occur before other milk components. In addition, the technique was used to assess the changes in milk during a period when SCC levels do not vary appreciably. Results indicated that milk components are in equilibrium and no appreciable change in a given component was seen with respect to another. This was found in both healthy and mastitic animals. However, milk components were found to vary with SCC content regardless of the range considered. This important finding demonstrates that 2-D correlation analysis may be used to track even subtle changes in milk composition in individual cows. To find out the right threshold for SCC when used for mastitis diagnosis at cow level, classification of milk samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two levels of SCC - 200 000 cells/$m\ell$ and 300 000 cells/$m\ell$, respectively, were set up and compared as thresholds to discriminate between healthy and mastitic cows. The best detection accuracy was found with 200 000 cells/$m\ell$ as threshold for mastitis and smoothed absorbance data: - 98% of the milk samples in the calibration set and 87% of the samples in the independent test set were correctly classified. When the spectral information was studied it was found that the successful mastitis diagnosis was based on reviling the spectral changes related to the corresponding changes in milk composition. NIRS combined with different ways of spectral data ruining can provide faster and nondestructive alternative to current methods for mastitis diagnosis and a new inside into disease understanding at molecular level.

• Asia pacific journal of information systems
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• 제19권1호
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• pp.1-31
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• 2009

This paper empirically examines factors that potentially influence the success of a Web-based semantic search engine. A research model has been proposed that shows the impact of quality-related factors upon the effectiveness of a semantic search engine, based on DeLone and McLean's(2003) information systems success model. An empirical study has been conducted to test hypotheses formulated around the research model, and statistical methods were applied to analyze gathered data and draw conclusions. Implications for academics and practitioners are offered based on the findings of the study. The proposed model includes three quality dimensions of a Web-based semantic search engine-namely, information quality, system quality and service quality. These three dimensions each have measures designed to collectively assess the respective dimension. The model is intended to examine the relationship between measures of these quality dimensions and measures of two dependent constructs, including individuals' net benefit and user satisfaction. Individuals' net benefit was measured by the extent to which the user's information needs were adequately met, whereas user satisfaction was measured by a combination of the perceived satisfaction with search results and the perceived satisfaction with the overall system. A total of 23 hypotheses have been formulated around the model, and a questionnaire survey has been conducted using a functional semantic search website created by KT and Hakia, so as to collect data to validate the model. Copies of a questionnaire form were handed out in person to 160 research associates and employees working in the area of designing and developing semantic search engines. Those who received the form, 148 respondents returned valid responses. The survey form asked respondents to use the given website to answer questions concerning the system. The results of the empirical study have indicated that, of the three quality dimensions, information quality was found to have the strongest association with the effectiveness of a Web-based semantic search engine. This finding is consistent with the observation in the literature that the aspects of the information quality should serve as a basis for evaluating the search outcomes from a semantic search engine. Measures under the information quality dimension that have a positive effect on informational gratification and user satisfaction were found to be recall and currency. Under the system quality dimension, response time and interactivity, were positively related to informational gratification. On the other hand, only one measure under the service quality dimension, reliability was found to have a positive relationship with user satisfaction. The results were based on the seven hypotheses that have been accepted. One may wonder why 15 out of the 23 hypotheses have been rejected and question the theoretical soundness of the model. However, the correlations between independent variables and dependent variables came out to be fairly high. This suggests that the structural equation model yielded results inconsistent with those of coefficient analysis, because the structural equation model intends to examine the relationship among independent variables as well as the relationship between independent variables and dependent variables. The findings offer some useful implications for owners of a semantic search engine, as far as the design and maintenance of the website is concerned. First, the system should be designed to respond to the user's query as fast as possible. Also it should be designed to support the search process by recommending, revising, and choosing a search query, so as to maximize users' interactions with the system. Second, the system should present search results with maximum recall and currency to effectively meet the users' expectations. Third, it should be capable of providing online services in a reliable and trustworthy manner. Finally, effective increase in user satisfaction requires the improvement of quality factors associated with a semantic search engine, which would in turn help increase the informational gratification for users. The proposed model can serve as a useful framework for measuring the success of a Web-based semantic search engine. Applying the search engine success framework to the measurement of search engine effectiveness has the potential to provide an outline of what areas of a semantic search engine needs improvement, in order to better meet information needs of users. Further research will be needed to make this idea a reality.

• 감성과학
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• 제11권4호
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• pp.531-540
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• 2008

본 연구는 중국 여대생의 라이프스타일과 기초 화장품 용기디자인의 상관관계를 밝히는 것을 목적으로 진행하였다. 연구결과 중국 여대생 라이프스타일은 크게 4가지로 분류될 수 있으며 군집1은 용기 가운데의 폭이 넓은 형태로 단골점포 신뢰의 독립적 성향과 관련성이 있다. 군집2는 상단부로 올라갈수록 좁아지는 용기형태를 선호하며 적극적 투자, 외국어 중시, 인터넷 쇼핑을 선호하는 성향이 관련 있는 것으로 나타났다. 군집3은 전체적으로 부드러운 곡선의 유기적인 형태를 선호하며 큰 점포 신뢰, 점포구경취향, 자기취향에 맞는 제품을 추구의 성향과 관련 있는 것으로 나타났다. 군집4는 상단부가 넓고 하단부가 내려갈수록 날씬해지지만 하단부에서 다시 넓은 형태를 선호하며 가정의지, 브랜드와 디자인 중시하는 성향이 관련 있는 것으로 나타났다. 위의 내용을 정리해보면 소비자들은 그들의 라이프스타일 특성에 따라 선호하는 화장품 용기 디자인이 다양하고 소비자들은 용기 형태에 따라 서로 다른 감성이미지를 느끼고 있다는 것을 알 수 있다. 따라서 화장품 용기디자인에 있어서 이러한 세분화된 소비자의 특성에 대한 연구, 세분화된 제품 형태에 대한 연구 들이 서로 상관요소의 관계 안에서 이루어져야 하며 소비자 시장의 마케팅 전략에 있어서도 보다 세분화된 분석방법들이 요구되는 것을 알 수 있다.